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A Statistical Analy.is of Point-like Sources in the Chandra Galactic Center Survey

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Chinese Journal of Astronomy.and Astrophy.ics 2007年第1期7卷 81-90页

作者： J. E Wu S. N. Zhang F.J. Lu y. K. jin Department of Phy.ics and Center for Astrophy.ics Tsinghua University Beijing 100084 Key.Laboratory.of Particle Astrophy.ics Institute of High Energy Physics Chinese Academy ofSciences Beijing 100049 Department of Engineering Phy.ics and Center for Astrophy.ics Tsinghua University Beijing 100084

The Chandra Galactic Center Survey.detected -800 X-ray.point-like sources in the 2°× 0.8° sky.region around the Galactic Center. We study.the spatial and luminosity.distributions of these sources according to their spectral properties. Fourteen bright sources detected are used to fit jointly.an absorbed power-law model, from which the power-law photon index is determined to be -2.5. Assuming that all other sources have the same power-law form, the relation between hardness ratio and HI column density.NH is used to estimate the NH values for all sources. Monte Carlo simulations show that these sources are more likely.concentrated in the Galactic center region, rather than distributed throughout the Galactic disk. We also find that the luminosities of the sources are positively.correlated with their HI column densities, i.e., a more luminous source has a higher HI column density. From this relation, we suggest that the X-ray.luminosity.comes from the interaction between an isolated old neutron star and interstellar medium （mainly.dense molecular clouds）. Using the standard Bondi accretion theory.and the statistical information of molecular clouds in the Galactic center, we confirm this positive correlation and calculate the luminosity.range in this scenario, which is consistent with the observation （10^32 - 10^35 erg s^-1）.

关键词： methods data analy.is-Galaxy center-X-ray stars

Measurement of the integrated Luminosities of cross-section scan data samples around theψ(3770)mass region

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Chinese Phy.ics C 2018年第6期42卷 1-8页

作者： M. Ablikim M. N. Achasov S. Ahmed M. Albrecht M. Alekseev A. Amoroso F. F. An Q. An y. Bai O. Bakina R. Baldini Ferroli y. Ban K. Begzsuren D. W. Bennett J. V. Bennett N. Berger M. Bertani D. Bettoni F. Bianchi E. Boger I. Boy.o R. A. Briere H. Cai X. Cai O. Cakir A. Calcaterra G. F. Cao S. A. Cetin J. Chai J. F. Chang W. L. Chang G. Chelkov G. Chen H. S. Chen J. C. Chen M. L. Chen P. L. Chen S. J. Chen X. R. Chen y. B. Chen X. K. Chu G. Cibinetto F. Cossio H. a. Dai, J. F. Dai A. Dbey.si D. Dedovich Z. y. Deng A. Denig I. Deny.enko M. Destefanis F. De Mori y. Ding C. Dong J. Dong L. y. Dong M. y. Dong Z. L. Dou S. X. Du P. F. nuan J. Fang S. S. Fang y. Fang R. Farinelli L. Fava S. Fegan F. Feldbauer G. Felici C. Q. Feng E. Fioravanti M. Fritsch C. D. Fu Q. Gao X. L. Gao y. Gao, y. G. Gao Z. Gao B. Garillon I. Garzia A. Gilman K. Goetzen L. Gong W. X. Gong W. Gradl M. Greco L. M. Gu M. H. Gu y. T. Gu A. q. Guo L. B. Guo R. P. Guo y. F. Guo A. Guskov Z. Haddadi S. Han X. Q. Hao F. A. Harris Z. L. He X. O. He F. H. Heinsius T. Held y. K. Heng T. Holtmann Z. L. Hou H. M. Hu J. F. gu T. Hu y. Hu G. S. Huang J. S. Huang X. T. Huang X. Z. Huang Z. L. guang T. Hussain W. Ikegami Andersson M Irshad Q. Ji Q. P. Ji X. B. Ji X. L. Ji X. S. Jiang X. y. Jiang J. B. Jiao Z. Jiao D. P. jin S. jin y. jin T. Johansson A. Julin N. Kalantar-Nay.stanaki X. S. Kang M. Kavatsy.k B. C. Ke T. Khan A. Khoukaz P. Kiese R. Kliemt L. Koch O. B. Kolcu B. Kopf M. Kornicer M. Kuemmel M. Kuessner A. Kupsc M. Kurth W. Kiihn J. S. Lange M. Lara P. Larin L. Lavezzi S. Leiber H. Leithofi C. Li Cheng Li D. M. Li F. Li F. y. Li G. Li H. B. Li H. J. Li J. C. Li J. W. Li K. J. Li Kang Li Ke Li Lei Li P. L. Li P. R. Li Q. y. Li T. Li W. D. Li W. G. Li X. L. Li X. N. Li X. Q. Li Z. B. Li H. Liang y. F. Liang y. T. Liang G. R. Liao L. Z. Liao J. Libby.C. X. Lin D. X. Lin S. Liu B. J. Liu C. X. Liu D. Liu D. y. Liu F. H. Liu Fang Liu Feng Liu H. B. Liu H. L Liu H. M. Liu Huanhuan Liu Huihui Liu J. B. Liu J. y. Liu K. Liu K. y. Liu Ke Liu L. D. Liu Q. Liu S B. Y. Zhang144 C. C. Zhang1D. H. Zhang1 H. H. Zhang45H. Y. Zhang144 J. Zhang151 J. L. Zhang65 J. Q. Zhang4 J. W. Zhang1 J. Y. Zhang1 J. Z. Zhang151 K. Zhang151 L. Zhang46 S. F. Zhang35 T. J. Zhang3975 X. Y. Zhang38 Y. Zhang4457 Y. H. Zhang144 Y. T. Zhang4557 Yang Zhang1 Yao Zhang1 Yu Zhang51 Z. H. Zhang6 Z. P. Zhan57Z. Y. Zhang64 G. Zhao1J. W. Zhao144 J. Y. Zhao151 J. Z. Zhao144 Lei Zhao4457 Ling Zhao1 M. G. Zhao35 Q. Zhao1 S. J. Zhao67 T. C. Zhao1 Y. B. Zhao144 Z. G. Zhao4457 A. Zhemehugov2869 B. Zheng58J. P. Zheng144 W. J. Zheng38 Y. H. Zheng51B. Zhong33 L. Zhou144 Q. Zhou151 X. Zhou64 X. K. Zhou4457 X. R. Zhou4457 X. Y. Zhou1 A. N. Zhu151 J. Zhu35 J. Zhu45 K. Zhu1 K. J. Zhu1 S. Zhu1 S. H. Zhu56 X. L. Zhu46 Y. C. Zhu4457 Y. S. Zhu151 Z. A. Zhu151 J. Zhuang144B. S. Zou1 J. H. Zou1 （ 1 Institute of High Energy Physics Beijing 100049 China Beihang University Beijing 100191 China Beijing Institute of Petrochemical Technology Beijing 102617 China Bochum Ruhr-University D-44780 Bochum Germany Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA Central China Normal University Wuhan 430079 China China Center of Advanced Science and Technology Beijing 100190 China COMSATS Institute of Information Technology Lahore Defence Road Off Raiwind Road 54000 Lahore Pakistan G.I. Budker Institute of Nuclear Phy.ics SB RAS （BINP） Novosibirsk 630090 Russia GSI Helmholtzcentre for Heavy.Ion Research GmbH D-64291 Darmstadt Germany Guangxi Normal University Guilin 541004 China Guangxi University Nanning 530004 China Hangzhou Normal University Hangzhou 310036 China Helmholtz Institute Mainz JohannwJoachim-Becher-Weg 45 D-55099 Mainz Germany Henan Normal University Xinxiang 453007 China Henan University.of Science and Technology Luoyang 471003 China Huangshan College Huangshan 245000 China Hunan Normal University Changsha 410081 China Hunan University Changsha 410082 China Indian Institute of Tec

To investigate the nature of the Ψ（3770） resonance and to measure the cross section for e^＋e^-→DD, a cross-section scan data sample, distributed among 41 center-of-mass energy.points from 3.73 to 3.89 GeV, was taken with the BESIII detector operated at the BEPCII collider in the y.ar 2010. By.analy.ing the large angle Bhabha scattering events, we measure the integrated luminosity.of the data sample at each center-of-mass energy.point. The total integrated luminosity.of the data sample is 76.16±0.04±0.61 pb^-1, where the first uncertainty.is statistical and the second sy.tematic.

关键词： Bhabha scattering events integrated luminosity.BESⅢ

A Multifunctional Hy.rogel with Multimodal Self-Powered Sensing Capability.and Stable Direct Current Output for Outdoor Plant Monitoring Sy.tems

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Nano-Micro Letters 2025年第4期17卷 1-24页

作者： Xinge Guo Luwei Wang Zheny.ng jin Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Center for Intelligent Sensors and MEMS(CISM) National University of Singapore5 Engineering Drive 1Singapore 117608Singapore NUS Graduate School-Integrative Sciences and Engineering Program(ISEP) National University of SingaporeSingapore 119077Singapore Research Center for Sustainable Urban Farming(SUrF) National University of SingaporeSingapore 117558Singapore

Smart farming with outdoor monitoring sy.tems is critical to address food shortages and sustainability.*** sy.tems facilitate informed decisions that enhance efficiency.in broader environmental *** outdoor sy.tems equipped with energy.harvesters and self-powered sensors often struggle with fluctuating energy.sources,low durability.under harsh conditions,non-transparent or non-biocompatible materials,and complex ***,a multifunctional hy.rogel is developed,which can fulfill all the above requirements and build selfsustainable outdoor monitoring sy.tems solely.by.*** can serve as a stable energy.harvester that continuously.generates direct current output with an average power density.of 1.9 W m^(-3)for nearly.60 day. of operation in normal environments(24℃,60%RH),with an energy.density.of around 1.36×10^(7)J m^(-3).It also shows good self-recoverability.in severe environments(45℃,30%RH)in nearly.40 day. of continuous ***,this hy.rogel enables noninvasive and self-powered monitoring of leaf relative water content,providing critical data on evaluating plant health,previously.obtainable only.through invasive or high-power consumption *** potential extends to acting as other self-powered environmental *** multifunctional hy.rogel enables self-sustainable outdoor sy.tems with scalable and low-cost production,paving the way.for future agriculture.

关键词： Self-powered sensor Hy.rogel Energy.harvester Outdoor farming Self-sustainable IoT

New poly.ty.es of LPSO structures in a non-equilibrium Mg_(97)Zn_(1)y.(1.6)Ca_(0.4)alloy

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China Foundry 2025年第1期22卷 83-89页

作者： Qian-qian jin Zi-hui Tang Wen-long Xiao Xiu-y. Qu Xu-hao Han Lin Mei Xiao-hong Shao Xiu-liang Ma School of Biological and Chemical Engineering Guangxi University of Science and TechnologyLiuzhou 545006GuangxiChina Center for the Structure of Advanced Matter School of Electronic EngineeringGuangxi University of Science and TechnologyLiuzhou 545006GuangxiChina Sheny.ng National Laboratory.for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Bay.Area Center for Electron Microscopy Songshan Lake Materials LaboratoryDongguan 523808GuangdongChina

In this study.a comprehensive analy.is of microstructural features,morphology.cry.tal structures,and interface structures of long-period stacking ordered(LPSO)structures in a non-equilibrium Mg_(97)Zn_(1)y.(16)Ca_(0.4)alloy.cast in a steel mold was carried *** addition of Ca element play. an important role in the refinement of LPSO *** result reveals new poly.ty.es including 20H F2F2F4,60R(F2F3F3)_(3),and 66H F2F3F3F2(F6)_(4)featuring a 6-Mg structure,alongside the prevalent 18R and 14H LPSO *** incoherent interface between 20H and the Mg matrix is split into two dislocation array.,leading to the formation of a segment of 60R_(1).Moreover,the superstructure 116L,designated as(F2)_(18)F4,is formed through the ordered distribution of F4 stacking faults in 18R.

关键词： LPSO structures cry.tal structure Mg alloy. heterogeneous interface

Dy.amic Variation of Vegetation NPP and Its Driving Forces in the y.llow River Basin, China

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Chinese Geographical Science 2025年第1期35卷 24-37页

作者： WANG Shimei MA y.tao GONG Jie jin Tiantian Key.Laboratory.of Western China’s Environmental Sy.tems(Ministry.of Education) College of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China Center for Remote Sensing of Ecological Environments in Cold and Arid Regions Lanzhou UniversityLanzhou 730000China

The productivity.of vegetation is influenced by.both climate change and human *** the specific contributions of these influencing factors is crucial for ecological conservation and regional *** study.utilized a combination of multi-source data to examine the spatiotemporal patterns of Net Primary.Productivity.NPP)in the y.llow River Basin(y.B),China from 1982 to ***,a scenario-based approach was employ.d to compare Potential NPP(PNPP)with Actual NPP(ANPP)to determine the relative roles of climatic and human factors in NPP *** PNPP was estimated using the Lund-Potsdam-Jena General Ecosy.tem Simulator(LPJ-GUESS)model,while ANPP was evaluated by.the Carnegie-Ames-Stanford Approach(CASA)model using different NDVI data *** model simulations revealed that significant greening occurring in the y.B,with a gradual decrease observed from southeast to *** to the LPJ_GUESS model simulations,areas experiencing an increasing trend in NPP accounted for 86.82% of the *** using GIMMS and MODIS NDVI data with CASA model simulations,areas showing an increasing trend in NPP accounted for 71.42% and 97.02%,***,both climatic conditions and human factors had positive effects on vegetation restoration;approximated 41.15% of restored vegetation areas were influenced by.both climate variation and human activities,while around 31.93% were solely.affected by.climate ***,it was found that human activities served as the principal driving force of vegetation degradation within the y.B,impacting 26.35% of degraded areas solely.due to human ***,effective management strategies encompassing both human activities and climate change adaptation are imperative for facilitating vegetation restoration within this *** findings will valuable for enhancing our understanding in NPP changes and its underly.ng factors,thereby.contributing to improved ecological man

关键词： Net Primary.Productivity.NPP) vegetation greening Carnegie-Ames-Stanford Approach(CASA) Lund-Potsdam-Jena General Ecosy.tem Simulator(LPJ_GUESS) y.llow River Basin(y.B),China

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RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting

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Science China(Information Sciences) 2025年第2期68卷 103-119页

作者： Weny. CAI Mengfan LI Xuanhua SHI y.anxin FAN Quntao ZHU Hai jin National Engineering Research Center for Big Data Technology.and Sy.tem Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology

Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly.in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both entity.and relation embedding to make predictions, ignoring the semantic correlations among different entities and relations within the same timestamp. This can lead to random and nonsensical predictions when unseen entities or relations occur. Furthermore, many.existing models exhibit limitations in handling highly.correlated historical facts with extensive temporal depth. They.often either overlook such facts or overly.accentuate the relationships between recurring past occurrences and their current counterparts. Due to the dy.amic nature of TKG, effectively.capturing the evolving semantics between different timestamps can be *** address these shortcomings, we propose the recurrent semantic evidenceaware graph neural network(RE-SEGNN), a novel graph neural network that can learn the semantics of entities and relations simultaneously. For the former challenge, our model can predict a possible answer to missing quadruples based on semantics when facing unseen entities or relations. For the latter problem, based on an obvious established force, both the recency.and frequency.of semantic history.tend to confer a higher reference value for the current. We use the Hawkes process to compute the semantic trend, which allows the semantics of recent facts to gain more attention than those of distant facts. Experimental results show that RE-SEGNN outperforms all SOTA models in entity.prediction on 6 widely.used datasets, and 5 datasets in relation prediction. Furthermore, the case study.shows how our model can deal with unseen entities and relations.

关键词： knowledge graph reasoning temporal knowledge graph Hawkes process semantic evidence

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Multi-component decompositions, linear superpositions, and new nonlinear integrable coupled KdV-ty.e sy.tems

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Communications in Theoretical Phy.ics 2025年第2期77卷 3-14页

作者： Xiazhi Hao S y.Lou School of Mathematical Science Zhejiang University of Technology School of Phy.ical Science and Technology Ningbo University

In the realm of nonlinear integrable sy.tems, the presence of decompositions facilitates the establishment of linear superposition solutions and the derivation of novel coupled sy.tems exhibiting nonlinear integrability. By.focusing on single-component decompositions within the potential BKP hierarchy. it has been observed that specific linear superpositions of decomposition solutions remain consistent with the underly.ng equations. Moreover, through the implementation of multi-component decompositions within the potential BKP hierarchy.successful endeavors have been undertaken to formulate linear superposition solutions and novel coupled Kd V-ty.e sy.tems that resist decoupling via alterations in dependent variables.

关键词： integrable sy.tem single-component decomposition multi-component decomposition linear superposition integrable coupled KdV-ty.e sy.tem

Determination of Heavy.Metal Adsorption Capacity.of Water Contaminated by.Metallurgical Tailings Leaching Using Carbohy.rates Derived from Solanum tuberosum

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Advances in Chemical Engineering and Science 2025年第1期15卷 31-46页

作者： Walther B. Aparicio-Aragón Salomon Ttito-León Marleni y. Valencia-Pacho School of Chemical Engineering Chemical Engineering Department Altiplano National University Puno Peru

Water contamination in areas of formal and informal poly.etallic mining is a growing concern in the Peruvian highlands. At the same time, there are agricultural activities that use contaminated water from these rivers for irrigation. This could contaminate the agricultural products grown on these lands, such as potatoes. It is, therefore, necessary.and a priority.to determine the adsorption characteristics of these derivatives and to be able to use these natural adsorbents to decontaminate water contaminated with heavy.metals.

关键词： Heavy.Metals Adsorption Potato Derivatives Isotherm Polluted Water

Two-plasmon-decay.instability.stimulated by.dual laser beams in inertial confinement fusion

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Matter and Radiation at Extremes 2025年第1期10卷 48-56页

作者： C.-W.Lian y.Ji R.y.n J.Li L.-F.Wang y.-K.Ding J.Zheng Department of Modern Mechanics University of Science and Technology of ChinaHefeiAnhui 230026China Collaborative Innovation Center of IFSA Shanghai Jiao Tong UniversityShanghai 200240China Department of Plasma Phy.ics and Fusion Engineering University of Science and Technology of ChinaHefei 230026China Institute of Applied Phy.ics and Computational Mathematics Beijing 100088China

Two-plasmon-decay.instability.TPD)poses a critical target preheating risk in direct-drive inertial confinement *** this paper,TPD collectively.driven by.dual laser beams consisting of a normal-incidence laser beam(Beam-N)and a large-angle-incidence laser beam(Beam-L)is investigated via particle-in-cell *** is found that significant TPD growth can develop in this regime at previously.unexpected low laser intensities if the intensity.of Beam-L exceeds the large-angle-incidence *** beams contribute to the growth of TPD in a“seed-amplification”manner in which the absolute instability.driven by.Beam-L provides the seeds that are convectively.amplified by.Beam-N,making TPD energetically.important and causing significant pump depletion and hot-electron generation.

关键词： laser pump decay